Table 3.
Results of binary logistic regression to explore association between health status of respondents and related factors
| Characteristics | Healthy | Not healthy | ORa | 95% CIb | p value | |
|---|---|---|---|---|---|---|
| N (%) | N (%) | |||||
| Marital status | ||||||
| Never Married | 11 (2.1) | 12 (7.6) | 1 | Ref | ||
| Married | 382 (72.9) | 112 (70.9) | 4.1 | 1.7–9.7 | 0.001 | |
| Divorced | 44 (8.4) | 11 (7.0) | 4.4 | 1.5–12.7 | 0.007 | |
| Widowed | 87 (16.6) | 23 (14.6) | 4.7 | 1.7–12.2 | 0.006 | |
| Kind of job | ||||||
| State employee | 9 (1.7) | 5 (3.2) | 1 | Ref | ||
| Family business | 17 (3.2) | 4 (2.5) | 2.0 | 0.4–9.8 | 0.373 | |
| Private firms | 32 (6.1) | 6 (3.8) | 3.0 | 0.7–12.1 | 0.134 | |
| Jobless | 466 (88.9) | 143 (90.5) | 1.8 | 0.6–5.6 | 0.307 | |
| Do you like your job? | ||||||
| Yes | 40 (7.6) | 14 (8.9) | 1 | Ref | ||
| No | 18 (3.4) | 1 (0.6) | 5.5 | 0.7–45.3 | 0.113 | |
| Jobless | 466 (88.9) | 143 (90.5) | 1.2 | 0.6–2.2 | 0.676 | |
| Source of monetary support | ||||||
| Work | 25 (4.8) | 4 (2.5) | 1 | Ref | ||
| Pension | 346 (66.0) | 104 (65.8) | 0.6 | 0.2–1.7 | 0.299 | |
| Savings | 5 (1.0) | 1 (16.7) | 1.0 | 0.9–11.2 | 0.996 | |
| Son’s support | 113 (21.6) | 40 (25.3) | 0.5 | 0.2–1.6 | 0.234 | |
| Daughter’s support | 25 (4.8) | 5 (3.2) | 1.0 | 0.2–4.1 | 0.967 | |
| Relative’s support | 6 (1.1) | 2 (1.3) | 0.7 | 0.1–4.8 | 0.693 | |
| Others | 4 (0.8) | 2 (1.3) | 0.3 | 0.1–2.5 | 0.288 | |
| Who will care for you in case of illness? | ||||||
| Self | 49 (9.4) | 16 (10.1) | 1 | Ref | ||
| Spouse | 105 (20.0) | 33 (20.9) | 1.2 | 0.6–2.3 | 0.677 | |
| Son | 48 (9.2) | 15 (9.5) | 1.2 | 0.5–2.6 | 0.716 | |
| Daughter | 155 (29.6) | 43 (27.2) | 1.1 | 0.6–2.2 | 0.732 | |
| Daughter-in-law | 133 (25.4) | 48 (30.4) | 0.9 | 0.4–1.7 | 0.632 | |
| Others | 34 (6.5) | 3 (1.9) | 3.5 | 0.7–16.8 | 0.116 |
a OR: Odds ratio; ORs were adjusted for age and sex. b CI: Confidence interval.